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Walkability Analysis, JUST STREETS

This is the source code for the Walkability Analysis for Just Streets, WP 3.1 by Clément Sebastiao and Michael Szell. The code conducts a GIS analysis using public data from OpenStreetMap, focusing on walkability and accessibility for older adults.

Installation

First clone the repository:

git clone https://github.com/csebastiao/walkability_JS

Go to the cloned folder and create a new virtual environment. You can either create a new virtual environment then install the necessary dependencies with pip using the requirements.txt file:

pip install -r requirements.txt

Or create a new environment with the dependencies with conda or mamba using the environment.yml file:

mamba env create -f environment.yml

Then, install the virtual environment's kernel in Jupyter:

mamba activate js_walk
ipython kernel install --user --name=js_walk
mamba deactivate

You can now run jupyter lab with kernel js_walk (Kernel > Change Kernel > js_walk).

Repository structure

├── data
│   ├── processed           <- Modified data
│   └── raw                 <- Original, immutable data
├── notebooks               <- Jupyter notebooks
├── plots                   <- Generated figures
├── scripts                 <- Scripts to execute
├── .gitignore              <- Files and folders ignored by git
├── .pre-commit-config.yaml <- Pre-commit hooks used
├── CITATION.cff            <- Citation file (template)
├── README.md
├── environment.yml         <- Environment file to set up the environment using conda/mamba
└── requirements.txt        <- Requirements file to set up the environment using pip

Credits

Development of Just Streets was supported by the European Union Grant Agreement ID: 101104240